Assumptions simplify the complexity of real-world situations, making it feasible to develop models and conduct analysis. For instance, assuming a homogeneous population allows researchers to apply uniform rates of infection, recovery, or death, which simplifies the calculation of outcomes. Without these assumptions, the mathematical and statistical challenges would be insurmountable.
